This application checks the legitimacy of the employee expense through three stage verification process and provides the detailed dynamic analysis of expenses as well as helps employee in knowing the result of his expense priorly through Machine Learning algorithm KNN with reasonable accuracy. This application helps the user in choosing the right options through suggestions provided by the application in order to increase the chances of approval and the user can also get to know the status of the expense dynamically from the time when the user submitted the expense. The user, auditor and admin can start discussion through the forum/community provided by the application
Money Laundering is a big problem that concerns many governments and institutions. Vast amounts of m...
International audienceGlobal business travel spend topped record-breaking $1.2 Trillion USD in 2015,...
The application of machine learning and statistical predictive models to business problems has found...
ABSTRACT Expense Tracker is a daily expenditure management system modeled to track of day-to-day ex...
With the aid of open-sourced database and software libraries, we developed a data mining software pr...
Expenditure tracking is a task which many people find tedious, but the main benefit is that it helps...
Information regarding monitoring of operational expenditures of the Regional Public Service Agency a...
Although the development of communication technologies (e.g: UMTS, ADSL) allowed the elaboration of ...
INST: L_042A web application which helps the users track their daily expenses. The users can define ...
As it is urgent to change the traditional audit sampling method that is based on manpower to meet th...
Managing personal expenses is a problem for many people for numerous reasons, however financial stat...
Project (M.S., Computer Science) -- California State University, Sacramento, 2011.In today???s world...
Tracking expenses has always been a daunting and tedious task. Many people do not have the habit of ...
Currently, any management object is characterized by a large amount of information. This information...
Since building a machine learning model costs a lot while following 9 stages, the automated machine ...
Money Laundering is a big problem that concerns many governments and institutions. Vast amounts of m...
International audienceGlobal business travel spend topped record-breaking $1.2 Trillion USD in 2015,...
The application of machine learning and statistical predictive models to business problems has found...
ABSTRACT Expense Tracker is a daily expenditure management system modeled to track of day-to-day ex...
With the aid of open-sourced database and software libraries, we developed a data mining software pr...
Expenditure tracking is a task which many people find tedious, but the main benefit is that it helps...
Information regarding monitoring of operational expenditures of the Regional Public Service Agency a...
Although the development of communication technologies (e.g: UMTS, ADSL) allowed the elaboration of ...
INST: L_042A web application which helps the users track their daily expenses. The users can define ...
As it is urgent to change the traditional audit sampling method that is based on manpower to meet th...
Managing personal expenses is a problem for many people for numerous reasons, however financial stat...
Project (M.S., Computer Science) -- California State University, Sacramento, 2011.In today???s world...
Tracking expenses has always been a daunting and tedious task. Many people do not have the habit of ...
Currently, any management object is characterized by a large amount of information. This information...
Since building a machine learning model costs a lot while following 9 stages, the automated machine ...
Money Laundering is a big problem that concerns many governments and institutions. Vast amounts of m...
International audienceGlobal business travel spend topped record-breaking $1.2 Trillion USD in 2015,...
The application of machine learning and statistical predictive models to business problems has found...